Lucia Parussini

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lucia Parussini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Loic Le Gratiet
  2. G. Em Karniadakis
  3. Dongbin Xiu
  4. Xiaoliang Wan
  5. Ivo Babuska
  6. Alexander I. J. Forrester
  7. Heyrim Cho
  8. Fabio Nobile
  9. Donald R. Jones
  10. András Sóbester

Who trusts Lucia Parussini overall

  1. Zhaoyi Xu
  2. F. Sahli Costabal
  3. Joseph Homer Saleh
  4. Paris Perdikaris

Papers from Lucia Parussini's perspective

Ordered by how strongly the researchers Lucia Parussini trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
  2. High dimensional polynomial interpolation on sparse grids (Advances in Computational Mathematics)
  3. A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (SIAM Review)
  4. A Taxonomy of Global Optimization Methods Based on Response Surfaces
  5. Multi-fidelity optimization via surrogate modelling
  6. Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures (SIAM Journal on Scientific Computing)
  7. Multi-fidelity Gaussian process regression for computer experiments
  8. SPECTRAL METHODS FOR TIME-DEPENDENT PROBLEMS.
  9. Karhunen-Loève expansion for multi-correlated stochastic processes
  10. RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY

Their papers